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Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

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预训练的SegFlow.caffemodel模型中的score_res3_con_flow层权值全为0导致光流输出结果全是0,希望能提供正确的权值下载 In pretrained weights SegFlow.caffemodel, weights of layer("score_res3_con_flow") is all zeros, please upload a correct pretrained weights, thank you!

I don't know how to train the optical flow branch, including how to switch to another branch after training one branch reach the threshold. How should I set it ?

sorry I can not download your pretrained model for demo or training.

Hello, thanks a lot for your excellent work. I have a few questions. Is the segmentation model(upper branch) trained unsupervised during the Iterative Offline Training? Does the optical flow output...